Param Popat's repositories
machinelearning_lecture
The scripts taught by me as a part of Machine and Deep Learning lecture series at Nirma
Autoencoder-mnist
roadway to generative autoencoders
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
Cloud-Assignments
Assignments done as a part of Cloud Computing Big Data
cloud-project
COMS E6998 Cloud Computing and Big Data Project
COVID19
COVID19 Analysis
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep-Learning-TPU
Contains scripts written in colab that give comparative analysis of deep learning codes trained on GPU vs that trained on a TPU
Deep-Trading
Algorithmic trading with deep learning experiments
deeplearning_lab
This repository contains codes made during Deep Learning Lab Sessions
Diabetic-Retinopathy
Diabetic retinopathy detection scripts.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
learnopencv
Learn OpenCV : C++ and Python Examples
Lottery_Ticket_Hypothesis-TensorFlow_2
Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Real_time_object_detection_using_tensorflow
code for real time object detection using TensorFlow and openCV
TextStyleTransfer
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
torch-experiments
My Hands-On PyTorch
voice-photo-html
Front-End for Voice Photo Search - AWS
w4111-Databases
COMS W4111 - Introduction to Databases